Abstract: Chinese medicine syndrome differentiation is the accumulation of the practice and theories from the experience of disease prevention and treatment of the Chinese nation for thousands of years. Thus, it is important to study the principles and laws of syndrome differentiation and establish scientific and standardized digital and intelligent methods of syndrome differentiation for the modernization of Chinese medicine. This study introduces the background and status of the research on the intellectualization of Chinese medicine syndrome differentiation. In addition, the research methods of the intellectualization of Chinese medicine syndrome differentiation are summarized into four categories: knowledge engineering, mathematical statistics, machine learning, and deep learning. Through presenting the current problems and countermeasures of the intellectualization of Chinese medicine syndrome differentiation, this study suggests the intellectualization of Chinese medicine syndrome differentiation needs to be guided by the unified and standardized Chinese medicine theory, design the corresponding mathematical model, deal with the relationship between a priori knowledge and clinical data, and realize the Chinese medicine syndrome differentiation model which is in line with the thinking of Chinese medicine "measuring the visceral by the manifestation and identifying the syndrome from the symptoms", so as to achieve the real sense of brain-like computing and cognitive intelligence.